<html><head><title>Natural Language Processing Engineer - Pasadena, CA</title></head>
<body><h2>Natural Language Processing Engineer - Pasadena, CA</h2>
<p><b>Your responsibilities:</b> Build, Improve and extend NLP capabilities Research and evaluate new/different approaches to NLP problems. Produce deliverable results and take them from development to production in collaboration with our engineers.</p><p><b>
You must have:</b></p><ul><li>Strong Machine Learning background and familiarity with R, WEKA, RapidMiner, etc</li><li>Expertise in at least 3 of the following: Sentiment Analysis, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)</li><li>Strong understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging and parsing and how they work at a low level</li><li>Strong knowledge of Java or Python, and general software development skills (source code management, debugging, testing, deployment, etc.)</li><li>Expertise in producing, processing, evaluating and utilizing training data</li><li>MSc./PhD in Computer Science, Computational Linguistics or related fields from top tier university</li></ul><p><b>
Great to have:</b></p><ul><li>Good understanding of linguistics and language as a phenomenon</li><li>Strong interest in, and knowledge of Artificial Intelligence and its subfields</li><li>Experience with non-English NLP. Experience with Deep Learning and Word Embeddings</li><li>Experience with open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Mallet, etc</li><li>Experience with open-source ML/math toolkits such as scikit-learn, MLlib, Theano, NumPy, etc</li><li>Experience with noisy and/or unstructured textual data (e.g. tweets)</li><li>Published work in academic conferences/journals or industry circles</li></ul><p><b>
To apply, include the following:</b></p><ul><li>Detailed resume and/or LinkedIn profile</li><li>Links to any research/papers you have been an instrumental part of and are proud of</li><li>Name of instructor/adviser, if any along with link to their profile</li><li>Cover Letter identifying your five favorite apps on your phone</li></ul></body>
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